受强制性开放获取政策约束的文章 - Vince Varut Vardhanabhuti了解详情
无法在其他位置公开访问的文章：6 篇
Computed tomography-based deep-learning prediction of neoadjuvant chemoradiotherapy treatment response in esophageal squamous cell carcinoma
Y Hu, C Xie, H Yang, JWK Ho, J Wen, L Han, KO Lam, IYH Wong, ...
Radiotherapy and Oncology 154, 6-13, 2021
强制性开放获取政策： 国家自然科学基金委员会
Association between IVIM parameters and treatment response in locally advanced squamous cell cervical cancer treated by chemoradiotherapy
JAU Perucho, M Wang, V Vardhanabhuti, KY Tse, KKL Chan, EYP Lee
European radiology, 1-10, 2021
强制性开放获取政策： Research Grants Council, Hong Kong
Prediction of individual lymph node metastatic status in esophageal squamous cell carcinoma using routine computed tomography imaging: comparison of size-based measurements and …
C Xie, Y Hu, L Han, J Fu, V Vardhanabhuti, H Yang
Annals of Surgical Oncology 29 (13), 8117-8126, 2022
强制性开放获取政策： 国家自然科学基金委员会
Spectral CT reconstruction via spectral-image tensor and bidirectional image-gradient minimization
W Wu, H Yu, F Liu, J Zhang, V Vardhanabhuti
Computers in Biology and Medicine 151, 106080, 2022
强制性开放获取政策： 国家自然科学基金委员会
Computed Tomography of Cartilage: An Exploration of Novel Cationic Bismuth Contrast Agent
A Bhattarai, JGT Lok, H Sun, V Vardhanabhuti
Annals of Biomedical Engineering 51 (5), 977-986, 2023
强制性开放获取政策： Research Grants Council, Hong Kong
Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment
K Chen, J Liu, R Wan, VHF Lee, V Vardhanabhuti, H Yan, H Li
IEEE Transactions on Neural Networks and Learning Systems, 2024
强制性开放获取政策： Research Grants Council, Hong Kong
可在其他位置公开访问的文章：32 篇
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Q Dou, TY So, M Jiang, Q Liu, V Vardhanabhuti, G Kaissis, Z Li, W Si, ...
NPJ digital medicine 4 (1), 60, 2021
强制性开放获取政策： 国家自然科学基金委员会, German Research Foundation, European Commission
DRONE: Dual-domain residual-based optimization network for sparse-view CT reconstruction
W Wu, D Hu, C Niu, H Yu, V Vardhanabhuti, G Wang
IEEE Transactions on Medical Imaging 40 (11), 3002-3014, 2021
强制性开放获取政策： US National Institutes of Health
USPSTF2013 versus PLCOm2012 lung cancer screening eligibility criteria (International Lung Screening Trial): interim analysis of a prospective cohort study
MC Tammemägi, M Ruparel, A Tremblay, R Myers, J Mayo, J Yee, ...
The Lancet Oncology 23 (1), 138-148, 2022
强制性开放获取政策： US National Institutes of Health, National Health and Medical Research …
Assessment of intratumoral and peritumoral computed tomography radiomics for predicting pathological complete response to neoadjuvant chemoradiation in patients with esophageal …
Y Hu, C Xie, H Yang, JWK Ho, J Wen, L Han, KWH Chiu, J Fu, ...
JAMA network open 3 (9), e2015927-e2015927, 2020
强制性开放获取政策： 国家自然科学基金委员会
Radiomics model to predict early progression of nonmetastatic nasopharyngeal carcinoma after intensity modulation radiation therapy: a multicenter study
R Du, VH Lee, H Yuan, KO Lam, HH Pang, Y Chen, EY Lam, PL Khong, ...
Radiology: Artificial Intelligence 1 (4), e180075, 2019
强制性开放获取政策： Research Grants Council, Hong Kong
Image-domain material decomposition for spectral CT using a generalized dictionary learning
W Wu, P Chen, S Wang, V Vardhanabhuti, F Liu, H Yu
IEEE transactions on radiation and plasma medical sciences 5 (4), 537-547, 2020
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results
W Wu, D Hu, W Cong, H Shan, S Wang, C Niu, P Yan, H Yu, ...
Patterns 3 (5), 2022
强制性开放获取政策： US National Institutes of Health
Deep learning in breast cancer imaging: A decade of progress and future directions
L Luo, X Wang, Y Lin, X Ma, A Tan, R Chan, V Vardhanabhuti, WCW Chu, ...
IEEE Reviews in Biomedical Engineering, 2024
强制性开放获取政策： 国家自然科学基金委员会
Improved material decomposition with a two-step regularization for spectral CT
W Wu, P Chen, VV Vardhanabhuti, W Wu, H Yu
Ieee Access 7, 158770-158781, 2019
强制性开放获取政策： 国家自然科学基金委员会
Stabilizing deep tomographic reconstruction networks
W Wu, D Hu, W Cong, H Shan, S Wang, C Niu, P Yan, H Yu, ...
arXiv preprint arXiv:2008.01846, 2020
强制性开放获取政策： US National Institutes of Health
Cervical nodal volume for prognostication and risk stratification of patients with nasopharyngeal carcinoma, and implications on the TNM-staging system
H Yuan, QY Ai, DLW Kwong, DYT Fong, AD King, V Vardhanabhuti, ...
Scientific Reports 7 (1), 10387, 2017
强制性开放获取政策： Research Grants Council, Hong Kong
B-value optimization in the estimation of intravoxel incoherent motion parameters in patients with cervical cancer
JAU Perucho, HCC Chang, V Vardhanabhuti, M Wang, AS Becker, ...
Korean journal of radiology 21 (2), 218-227, 2020
强制性开放获取政策： Research Grants Council, Hong Kong
Early stage NSCLS patients’ prognostic prediction with multi-information using transformer and graph neural network model
J Lian, J Deng, ES Hui, M Koohi-Moghadam, Y She, C Chen, ...
Elife 11, e80547, 2022
强制性开放获取政策： 国家自然科学基金委员会
Clinical utility of serial analysis of circulating tumour cells for detection of minimal residual disease of metastatic nasopharyngeal carcinoma
JMY Ko, V Vardhanabhuti, WT Ng, KO Lam, RKC Ngan, DLW Kwong, ...
British Journal of Cancer 123 (1), 114-125, 2020
强制性开放获取政策： Research Grants Council, Hong Kong
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